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Describes a University of Iowa Libraries' user needs assessment survey of a random sample of graduate and professional students. Results showed the need for more assistance in using the library, greater awareness of library services offered to graduate students, and the desire for more opportunities for library instruction. (Author/LRW)

A study of 656 undergraduates at the University of Iowa assessed resource and service needs, identified library-wide unmet needs, and engaged library users and librarians in proactive dialog. Recommends improving physical facilities and staff perceptions, increasing public service desk staffing and public awareness of services and resources, and conducting follow-up studies. (PEN)

Abstract Background Health surveys provide important information on the burden and secular trends of risk factors and disease. Several factors including survey and item non-response can affect data quality. There are few reports on efficiency, validity and the impact of item non-response, from developing countries. This report examines factors associated with item non-response and study efficiency in a national health survey in a developing Caribbean island. Methods A national sample of participants aged 15–74 years was selected in a multi-stage sampling design accounting for 4 health regions and 14 parishes using enumeration districts as primary sampling units. Means and proportions of the variables of interest were compared between various categories. Non-response was defined as failure to provide an analyzable response. Linear and logistic regression models accounting for sample design and post-stratification weighting were used to identify independent correlates of recruitment efficiency and item non-response. Results We recruited 2012 15–74 year-olds (66.2% females) at a response rate of 87.6% with significant variation between regions (80.9% to 97.6%; p < 0.0001). Females outnumbered males in all parishes. The majority of subjects were recruited in a single visit, 39.1% required multiple visits varying significantly by region (27.0% to 49.8% [p < 0.0001]). Average interview time was 44.3 minutes with no variation between health regions, urban-rural residence, educational level, gender and SES; but increased significantly with older age category from 42.9 minutes in the youngest to 46.0 minutes in the oldest age category. Between 15.8% and 26.8% of persons did not provide responses for the number of sexual partners in the last year. Women and urban residents provided less data than their counterparts. Highest item non-response related to income at 30% with no gender difference but independently related to educational level, employment status, age group and health region. Characteristics of non-responders vary with types of questions. Conclusion Informative health surveys are possible in developing countries. While survey response rates may be satisfactory, item non-response was high in respect of income and sexual practice. In contrast to developed countries, non-response to questions on income is higher and has different correlates. These findings can inform future surveys.

The aim of the SmoCar (Smoking in the Caribbean) study was to estimate the prevalence of smoking and the disparities in the smoking practices of three regions in the Caribbean: Jamaica, Dominican Republic, and Puerto Rico. The secondary objective was to assess the prevalence and severity of gingivitis in relation to the smoking practices. The study population comprised 1,847 (weighted N = 1,830) individuals (18 years and older) who were volunteer participants from the capitals of Jamaica, Dominican Republic, and Puerto Rico. A structured interview was used to assess the participants' smoking behaviors. The gingival index was used to determine the extent of gingival inflammation. Polytomous regression was used to estimate the adjusted odds ratios (aORs) for smoking status (current, past, or never), according to risk factors (sex, age-group, education, marital status, tooth-brushing frequency, and city of residence). Logistic regression models were used to assess the associations between different smoking status variables and mild to moderate/severe gingivitis. The majority of the participants were never-smokers, with current smokers being found most commonly in Kingston (33.22%), followed by San Juan (12.76%) and Santo Domingo (8.8%). Both current (aOR = 2.22, 95% confidence interval [1.45, 3.40]) and past (aOR = 1.87, 95% confidence interval [1.19, 2.93]) smoking (vs. never smoking) was strongly associated with severe gingivitis. Smoking was the most prevalent in Jamaicans and the least prevalent in Dominicans. The study population of current smokers was found to have a fourfold increased risk of severe gingivitis and a twofold increased risk of moderate gingivitis. [ABSTRACT FROM AUTHOR]